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Hi! I'm your Kestra AI assistant.Ask me anything about workflows.
EXAMPLE QUESTIONS
Process files in parallel with Kestra. Use ForEach to fan out a dynamic batch of files into concurrent task runs for ingestion and transformation.
Run scheduled tasks only on business days using a Python calendar check that skips weekends and country-specific public holidays.
Cache LLM answers in Redis so repeated questions are served instantly and OpenAI is only called on a genuine cache miss.
Provision one Amazon S3 bucket per team and register each as a governed AWS_BUCKET asset in Kestra.
Classify every prompt with OpenAI, then route it to the best-fit LLM across Anthropic, Gemini, Perplexity, and OpenAI for quality and cost.
Automatically purge expired key-value entries from Kestra's internal KV store across namespaces on a daily schedule.
Run a Python script inside a Kubernetes pod with declarative CPU and memory limits, straight from a Kestra flow.
Use blueprints to kickstart your first workflows.